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AI-500

AI Ethics and Governance: Principles and Practices

Understand AI ethics and governance frameworks, exploring fairness, transparency, accountability, and privacy to lead responsible AI initiatives.

20,000+ Learners
Duration: 3 months
4.8
(1249 ratings)

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Details

This course focuses on the ethical implications and governance frameworks essential for responsible AI development. Students will explore the core principles of AI ethics, such as fairness, transparency, accountability, and privacy, while examining the societal impacts of AI across various sectors. The curriculum also covers international and national governance structures, offering insights into regulatory approaches to AI.

Participants will learn strategies to integrate ethical considerations into AI design and deployment, ensuring AI systems align with societal values and organizational responsibilities. Through real-world case studies and a capstone project, students will acquire practical skills to address ethical challenges in AI and lead responsible AI initiatives within their organizations.

What you will learn in this course

Understand the core principles of AI ethics: fairness, transparency, accountability, and privacy.

Examine societal impacts of AI across various industries.

Analyze international and national AI governance structures.

Integrate ethical considerations into AI design and deployment.

Address real-world ethical challenges through case studies.

Lead responsible AI initiatives within organizations.

Complete a capstone project on AI ethics and governance.

Prerequisites

There are no pre-requisites for this course.